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Brain Informatics : 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings / edited by Mufti Mahmud, M Shamim Kaiser, Stefano Vassanelli, Qionghai Dai, Ning Zhong.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 12960
- Lecture Notes in Artificial Intelligence ; 12960
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Application software.
- Education-Data processing.
- User interfaces (Computer systems).
- Human-computer interaction.
- Image processing-Digital techniques.
- Computer vision.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Computers and Education.
- User Interfaces and Human Computer Interaction.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Computers and Education.
- User Interfaces and Human Computer Interaction.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (XLVII, 570 pages) : 202 illustrations, 170 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 14th International Conference on Brain Informatics, BI 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic. The 49 full and 2 short papers together with 18 abstract papers were carefully reviewed and selected from 90 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing.
- Contents:
- Cognitive and Computational Foundations of Brain Science Inferring Neural Circuit Interactions and Neuromodulation from Local Field Potential and Electroencephalogram measures
- Motivation to Learn Action-State Representation with Hierarchical Temporal Memory
- The Effect of Expected Revenue Proportion and Social Value Orientation Index on Players' Behavior in Divergent Interest Tacit Coordination Games
- On the Extraction of High-level Visual Features from Lateral Geniculate Nucleus Activity: A Rat Study
- Disfluency as an Indicator of Cognitive-communication Disorder Through Learning Methods
- Bidirected Information Flow in the High-Level Visual Cortex
- A Computational Network Model for Shared Mental Models in Hospital Operation Rooms
- System Level Knowledge Representation For Metacognition in Neuroscience
- Brain connectivity based classification of Meditation expertise
- Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications
- Organization Investigations of Human Information Processing Systems Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters
- Identifying individuals using EEG-based Brain Connectivity Patterns
- A Novel Hybrid Model for Brain Functional Connectivity based on EEG
- ictogram Classification for Semantic Recognition of Emotional Context
- An Artificial Intelligence based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder
- Emotion recognition model based on the word structural representation
- Towards Learning a Joint Representation from Transformer in Multimodal Emotion Recognition
- Virtual Reality for Enhancement of Emotional Mindset
- Study on the Influencing Factors of Short Video Users' Subjective Well-Being
- Brain Big Data Analytics, Curation and Management System Level Knowledge Analysis and Vocabulary Extraction for Neuroscience
- Analysing, Representing and Classifying Neuroscience Questions Using Ontologies
- Gray Movie Identification from Electroencephalography response using Convolutional Neural Network
- Searching for unique neural descriptors of primary colours in EEG signals: a classification study
- Comparison between Active and Passive Attention Using EEG Waves and Deep Neural Network
- An Image-enhance Topic Modeling Method for Neuroimaging Literature
- Frequency Bands Selection for Seizure Classification and Forecasting using NLP, Random Forest and SVM Models
- Using tools for the analysis of the mental activity of programmers
- Informatics Paradigms for Brain and Mental Health Research Explainable Boosting Machine for predicting Alzheimer's disease from MRI Hippocampal Subfields
- A Matlab-based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals
- Organization D3mciAD: Data-Driven Diagnosis of Mild Cognitive Impairment Utilizing Syntactic Images Generation and Neural Nets
- Mental Healthcare Chatbot using Sequence-to-Sequence Learning and BiLSTM
- A Belief Rule Base Approach to Support Comparison of Digital Speech Signal Features for Parkinson's Disease Diagnosis
- Towards Autism Subtype Detection through Identification of Discriminatory Factors using Machine Learning Indoor Navigation Support System for Patients with Neurodegenerative Diseases. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-86993-9
- 9783030869939
- Access Restriction:
- Restricted for use by site license.
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